Jonathan Aranda

1B Tampa Bay Rays

Age 29 L/R 6'0" / 215 lbs MLB HR -6%H +4% Svc 2.174S2 · Ctrl thru 2030

Overview

MLB40-MANArb-1FA 2031

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR
2024	26	MLBTB	143	.234/.310/.430	6	0	108	-0.3
2025	27	MLBTB	422	.316/.396/.489	14	0	141	1.9
2026	28	MLBTB	668	.274/.362/.434	22	0	123	2.0
2027PROJ	29	MLBTB	648	.270/.353/.441	23	1	125	2.6
2028PROJ	30	MLBTB	648	.264/.348/.430	23	1	121	2.1
2029PROJ	31	MLBTB	642	.259/.342/.419	22	1	116	1.6

Last 3 seasons WAR 3.6 · Next 3 projected WAR 6.2Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2030Service2.174First FA2031Super-2

2027Arb-1$4M2028Arb-2$5M2029Arb-3$7M2030Arb-4$7M

Skills · percentileStatcast 2024-2026

xwOBA90

Avg EV90

Whiff%90

Chase%90

Barrel%73

Bat Spd41

Form.259/.339/.466 · rolling true talent (60d window) · proj .268/.349/.444

CompsKole Calhoun (age 29) · Ji Man Choi (age 29) · Michael Saunders (age 30)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†vL 107125vR 132

AVG/OBP/SLG.270 / .353 / .441

PA648

HR23

K%24

BB%10

BABIP331

ISO169

MLB%100%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$37M ctrl surplus

Tools · Recent Form · Splits · ContractCON 60 / POW 60

Toolsscout grade · Statcast %ile · 2024-2026

CONTACT60

Whiff%

904.8%

xAVG

680.266

POWER60

Barrel%

7311.7

Avg EV

9091.8

Bat Spd

4170.4

EYE50

Chase%

9014.3%

SPEED40

Sprint

1325.7

Recent Formrolling true talent ⓘ

K%28%▼▼30% over 111 PA (60d) · proj 24%

BB%9%·9% over 111 PA (60d) · proj 10%

ISO.207▲▲.258 over 97 AB (60d) · proj .176

HR/BB7.1%▲9.2% over 65 BBE (60d) · proj 5.8%

BABIP.326·.305 over 59 BIP (60d) · proj .328

SLASH.259/.339/.466·proj .268/.349/.444

Platoon Splits2024-2026 · 662 PA

vs LHP

vs RHP

Edge

130

532

—

wRC+

114

142

▶▶R

wOBA

336

379

▶R

ISO

087

214

▶▶R

BABIP

372

349

◀L

28.5%

23.5%

▶▶R

BB%

15.4%

8.6%

◀◀L

Contract ESTIMATED · service-time + WAR-based estimator (needs verification)

Status Pre-Arb SUPER-2

MLB Debut 2022

Service 2.174 yrs.days

Team Control Through 2030

First FA Year 2031

Year	Status	Salary	Proj WAR	Value	Surplus
2027	Arb-1	$4M	+2.9	$26M	+$21M
2028	Arb-2	$5M	+2.1	$16M	+$11M
2029	Arb-3	$7M	+1.6	$11M	+$5M
2030	Arb-4	$7M	+1.0	$6M	+$1.0M
Totals		$24M		$58M	+$38M

Career Stats + Projections

Real MLB stats plus park-adjusted projections — this season (so far / rest / full), then future seasons and career totals.

show model inputsbasis chips: RAW = as recorded · CTX = with park/league context · A+C = actual + context combined · MLE = level/park-neutral

Methodology▸ how these numbers are built

All seasons translated to park-neutral MLB-equivalent (MLE) and combined per year. 2027 = actual YTD + projected ROS + total. 2028+ via Advanced Marcel + aging curve.

Year	Age	Lvl	Team	MLB%	PA	AB	H	2B	3B	HR	BB	SO	HBP	SB	CS	AVG	OBP	SLG	OPS	ISO	BABIP	K%	BB%	wOBA	wRC+	BAT	RUN	FLD	POS	REP	WAR
▸ Career — actual stats, one row per stint (as recorded, no adjustments)
2016	18	ROK	DSL Rays 1	—	202	175	45	6	5	1	17	32	7	5	4	257	347	366	712	109	308	16	8	320	30	—	—	—	—	—	—
2017	19	ROK	GCL Rays	—	197	178	51	9	1	0	14	31	3	14	4	287	349	348	697	62	342	16	7	316	49	—	—	—	—	—	—
2017	19	INTL	Yaquis de Obregon	—	40	37	9	2	0	0	2	13	0	2	1	243	282	297	579	54	375	32	5	257	60	—	—	—	—	—	—
2018	20	ROK	Princeton Rays	—	144	126	36	8	4	1	12	18	3	0	1	286	359	437	796	151	321	12	8	349	72	—	—	—	—	—	—
2019	21	A+	Charlotte Stone Crabs	—	19	17	4	0	0	0	2	1	0	0	0	235	316	235	551		250	5	11	264	42	—	—	—	—	—	—
2019	21	A	Bowling Green Hot Rods	—	246	211	58	13	2	3	30	43	0	1	1	275	364	398	762	123	325	17	12	339	63	—	—	—	—	—	—
2019	21	INTL	Yaquis de Obregon	—	16	15	2	0	0	0	1	7	0	0	0	133	188	133	321		250	44	6	157	-8	—	—	—	—	—	—
2020	22	INTL	Yaquis de Obregon	—	159	144	48	5	2	3	11	20	3	6	0	333	392	458	851	125	369	13	7	378	142	—	—	—	—	—	—
2021	23	AA	Montgomery Biscuits	—	322	274	89	19	5	10	33	63	10	4	2	325	416	540	957	215	383	20	10	414	123	—	—	—	—	—	—
2021	23	A+	Bowling Green Hot Rods	—	89	74	26	3	0	4	9	13	5	1	0	351	455	554	1.009	203	379	15	10	442	147	—	—	—	—	—	—
2021	23	INTL	Yaquis de Obregon	—	137	116	33	3	0	2	17	24	2	2	1	284	385	362	747	78	341	18	12	341	117	—	—	—	—	—	—
2022	24	MLB	Tampa Bay Rays	—	87	78	15	4	0	2	8	23	1	0	0	192	276	321	596	128	245	26	9	273	66	-4	+0	-2	+2	+2	-0.2
2022	24	AAA	Durham Bulls	—	465	403	128	26	1	18	45	100	10	4	0	318	400	521	921	203	377	22	10	401	117	—	—	—	—	—	—
2023	25	MLB	Tampa Bay Rays	—	103	87	20	4	1	2	13	31	2	0	0	230	343	368	711	138	327	30	13	322	99	-0	+0	-1	-10	+2	-0.9
2023	25	AAA	Durham Bulls	—	434	357	121	23	0	25	64	87	10	2	2	339	452	613	1.066	275	387	20	15	460	132	—	—	—	—	—	—
2024	26	MLB	Tampa Bay Rays	—	143	128	30	7	0	6	12	32	2	0	0	234	310	430	740	195	264	22	8	327	108	+1	+0	-0	-7	+3	-0.3
2024	26	AAA	Durham Bulls	—	144	118	28	1	0	7	23	47	2	0	0	237	371	424	794	186	323	33	16	357	72	—	—	—	—	—	—
2024	26	INTL	Yaquis de Obregon	—	115	94	29	7	2	6	16	19	4	1	0	309	430	617	1.047	309	333	17	14	448	189	—	—	—	—	—	—
2025	27	MLB	Tampa Bay Rays	—	422	370	117	22	0	14	41	107	8	0	2	316	396	489	885	173	409	25	10	391	141	+21	-1	-3	-8	+9	1.9
2026	28	MLB	Tampa Bay Rays	—	668	580	159	27	0	22	69	163	11	0	1	274	362	434	797	160	340	24	10	354	123	+19	-0	-1	-12	+14	2.0
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	1423	1243	341	64	1	46	143	356	24	0	3	274	360	438	799	164	345	25	10	355	126	+45	-1	-8	-34	+31	3.3
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2016	18	ROK MLE	DSL Rays 1	—	202	180	30	4	3	0	12	39	7	5	4	167	246	222	468	56	204	19	6	212	30	—	—	—	—	—	—
2017	19	ROK MLE	GCL Rays	—	197	183	42	7	1	0	9	45	3	14	4	230	277	279	556	49	290	23	5	241	49	—	—	—	—	—	—
2018	20	ROK MLE	Princeton Rays	—	144	131	30	6	3	1	8	25	3	0	1	229	289	344	632	115	270	17	6	274	72	—	—	—	—	—	—
2019	21	A+ MLE	Charlotte Stone Crabs	—	19	17	4	0	0	0	2	1	0	0	0	235	316	235	551		234	5	11	230	42	—	—	—	—	—	—
2019	21	A MLE	Bowling Green Hot Rods	—	246	222	49	9	2	2	20	62	0	1	1	221	285	306	591	86	282	25	8	262	63	—	—	—	—	—	—
2021	23	AA MLE	Montgomery Biscuits	—	322	284	80	16	5	9	23	79	10	4	2	282	356	468	825	187	342	25	7	350	123	—	—	—	—	—	—
2021	23	A+ MLE	Bowling Green Hot Rods	—	89	76	24	2	0	3	7	17	5	1	0	316	409	461	870	145	361	19	8	385	147	—	—	—	—	—	—
2022	24	MLB MLE	Tampa Bay Rays	—	87	79	15	4	0	2	7	23	1	0	0	190	264	316	581	127	245	26	8	266	66	-4	+0	-2	+2	+2	-0.2
2022	24	AAA MLE	Durham Bulls	—	465	417	119	21	1	13	31	120	10	4	0	285	349	434	783	149	356	26	7	341	117	—	—	—	—	—	—
2023	25	MLB MLE	Tampa Bay Rays	—	103	88	20	4	1	2	12	31	2	0	0	227	333	364	697	136	327	30	12	315	99	-0	+0	-1	-10	+2	-0.9
2023	25	AAA MLE	Durham Bulls	—	434	377	106	20	0	16	44	104	10	2	2	281	371	462	833	180	341	24	10	364	132	—	—	—	—	—	—
2024	26	MLB MLE	Tampa Bay Rays	—	143	128	30	7	0	6	12	32	2	0	0	234	310	430	740	195	264	22	8	328	108	+1	+0	-0	-7	+3	-0.3
2024	26	AAA MLE	Durham Bulls	—	144	124	24	1	0	5	17	56	2	0	0	194	301	323	623	129	289	39	12	275	72	—	—	—	—	—	—
2025	27	MLB MLE	Tampa Bay Rays	—	422	373	114	21	0	14	38	107	8	0	2	306	382	475	856	169	409	25	9	377	141	+21	-1	-3	-8	+9	1.9
2026	28	MLB MLE	Tampa Bay Rays	—	668	583	159	28	0	23	66	163	11	0	1	273	358	439	797	166	340	24	10	351	123	+19	-0	-1	-12	+14	2.0
2016	18	ROK MLE	DSL Rays 1	—	202	180	30	4	3	0	12	39	7	5	4	167	246	222	468	56	211	19	6	212	30	—	—	—	—	—	—
2016	18	ROK RAW	DSL Rays 1	—	202	175	45	6	5	1	17	32	7	5	4	257	347	366	712	109	308	16	8	320	30	—	—	—	—	—	—
2017	19	ROK MLE	2 teams	—	237	221	50	8	1	0	10	54	3	16	5	226	269	271	541	45	296	23	4	241	49	—	—	—	—	—	—
2017	19	ROK RAW	2 teams	—	237	215	60	11	1	0	16	44	3	16	5	279	338	340	677	60	347	19	7	306	49	—	—	—	—	—	—
2018	20	ROK MLE	Princeton Rays	—	144	131	30	6	3	1	8	25	3	0	1	229	289	344	632	115	271	17	6	274	72	—	—	—	—	—	—
2018	20	ROK RAW	Princeton Rays	—	144	126	36	8	4	1	12	18	3	0	1	286	359	437	796	151	321	12	8	349	72	—	—	—	—	—	—
2019	21	A MLE	3 teams	—	281	254	56	10	2	2	23	67	0	1	1	220	285	299	584	79	286	24	8	260	62	—	—	—	—	—	—
2019	21	A RAW	3 teams	—	281	243	64	13	2	3	33	51	0	1	1	263	350	370	721	107	316	18	12	323	62	—	—	—	—	—	—
2020	22	INTL MLE	Yaquis de Obregon	—	159	144	48	5	2	3	11	20	3	6	0	333	392	458	851	125	369	13	7	—	—	—	—	—	—	—	—
2020	22	INTL RAW	Yaquis de Obregon	—	159	144	48	5	2	3	11	20	3	6	0	333	392	458	851	125	369	13	7	378	142	—	—	—	—	—	—
2021	23	AA MLE	3 teams	—	548	483	139	24	6	16	40	128	17	7	3	288	363	462	825	174	355	23	7	358	128	—	—	—	—	—	—
2021	23	AA RAW	3 teams	—	548	464	148	25	5	16	59	100	17	7	3	319	415	498	913	179	372	18	11	400	128	—	—	—	—	—	—
2022	24	AAA MLE	2 teams	—	552	496	134	25	1	15	38	143	11	4	0	270	336	415	751	145	345	26	7	329	109	—	—	—	—	—	—
2022	24	AAA RAW	2 teams	—	552	481	143	30	1	20	53	123	11	4	0	297	380	489	868	191	357	22	10	381	109	—	—	—	—	—	—
2023	25	AAA MLE	2 teams	—	537	465	126	24	1	18	56	135	12	2	2	271	364	443	807	172	342	25	10	355	126	—	—	—	—	—	—
2023	25	AAA RAW	2 teams	—	537	444	141	27	1	27	77	118	12	2	2	318	432	565	997	248	376	22	14	434	126	—	—	—	—	—	—
2024	26	AAA MLE	3 teams	—	402	351	75	11	0	15	40	123	8	1	0	214	308	373	681	160	279	31	10	302	90	—	—	—	—	—	—
2024	26	AAA RAW	3 teams	—	402	340	87	15	2	19	51	98	8	1	0	256	366	479	845	224	302	24	13	372	90	—	—	—	—	—	—
2025	27	MLB MLE	Tampa Bay Rays	—	422	373	114	21	0	14	38	107	8	0	2	306	382	475	856	169	392	25	9	377	141	+21	-1	-3	-8	+9	1.9
2025	27	MLB RAW	Tampa Bay Rays	—	422	370	117	22	0	14	41	107	8	0	2	316	396	489	885	173	409	25	10	391	141	+21	-1	-3	-8	+9	1.9
2026	28	MLB MLE	Tampa Bay Rays	—	668	583	159	28	0	23	66	163	11	0	1	273	358	439	797	166	336	24	10	351	123	+19	-0	-1	-12	+14	2.0
2026	28	MLB RAW	Tampa Bay Rays	—	668	580	159	27	0	22	69	163	11	0	1	274	362	434	797	160	340	24	10	354	123	+19	-0	-1	-12	+14	2.0
2016	18	ROK MLE	DSL Rays 1	—	202	181	30	4	3	0	12	39	7	5	4	166	246	221	467	55	204	19	6	212	30	—	—	—	—	—	—
2017	19	ROK MLE	2 teams	—	237	222	50	8	1	0	10	54	3	16	5	225	269	270	540	45	290	23	4	241	49	—	—	—	—	—	—
2018	20	ROK MLE	Princeton Rays	—	144	132	30	6	3	1	8	25	3	0	1	227	289	341	630	114	270	17	6	274	72	—	—	—	—	—	—
2019	21	A MLE	3 teams	—	281	256	56	10	2	2	23	67	0	1	1	219	285	297	582	78	279	24	8	260	62	—	—	—	—	—	—
2021	23	AA MLE	3 teams	—	548	486	139	24	6	16	40	128	17	7	3	286	363	459	822	173	346	23	7	358	128	—	—	—	—	—	—
2022	24	AAA MLE	2 teams	—	552	498	134	25	1	15	38	143	11	4	0	269	336	414	749	145	339	26	7	329	109	—	—	—	—	—	—
2023	25	AAA MLE	2 teams	—	537	464	126	24	1	18	56	135	12	2	2	272	364	444	808	172	338	25	10	355	126	—	—	—	—	—	—
2024	26	AAA MLE	3 teams	—	402	351	75	11	0	15	40	123	8	1	0	214	308	373	681	160	276	31	10	302	90	—	—	—	—	—	—
2025	27	MLB MLE	Tampa Bay Rays	—	422	373	114	21	0	14	38	107	8	0	2	306	382	475	856	169	409	25	9	377	141	—	—	—	—	—	—
2026	28	MLB MLE	Tampa Bay Rays	—	668	586	159	28	0	23	66	163	11	0	1	271	358	437	794	166	340	24	10	351	123	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	26	AAA MLE	3 teams	—	402	351	75	11	0	15	40	123	8	1	0	214	308	373	681	160	276	31	10	302	90	—	—	—	—	—	—
2025	27	MLB MLE	Tampa Bay Rays	—	422	373	114	21	0	14	38	107	8	0	2	306	382	475	856	169	409	25	9	377	141	—	—	—	—	—	—
2026	28	MLB MLE	Tampa Bay Rays	—	668	586	159	28	0	23	66	163	11	0	1	271	358	437	794	166	340	24	10	351	123	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	29	MLB MLE	TB	100%	588	516	139	25	0	22	57	143	10	1	0	268	352	444	796	176	328	24	10	353	125	+18	+0	+3	-10	+13	2.9
▸ 2027 — real world (MLB)
2027	29	MLB CTX	TB	100%	648	569	153	27	0	23	63	158	11	1	1	270	353	441	795	172	331	24	10	353	125	+19	-0	+4	-12	+14	2.6
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	30	MLB MLE	TB	100%	648	570	149	26	0	23	63	160	10	1	0	263	347	433	780	170	323	25	10	347	121	+16	+0	+2	-12	+14	2.1
2029	31	MLB MLE	TB	100%	642	566	145	25	0	22	61	161	10	1	0	258	341	421	762	164	318	25	10	340	116	+12	+0	+1	-11	+14	1.6
2030	32	MLB MLE	TB	100%	629	555	139	23	0	21	59	161	10	1	0	251	333	406	740	156	312	26	9	331	110	+7	+0	+0	-11	+14	1.0
2031	33	MLB MLE	TB	100%	584	517	125	20	0	18	54	152	8	1	0	242	324	388	712	146	304	26	9	319	102	+2	+0	-1	-10	+13	0.3
2028	30	MLB CTX	TB	100%	648	570	151	26	0	23	63	160	10	1	0	264	348	430	778	166	326	25	10	346	121	+16	+0	+2	-12	+14	2.1
2029	31	MLB CTX	TB	100%	642	566	147	25	0	22	61	161	10	1	0	259	342	419	761	160	321	25	10	339	116	+12	+0	+1	-11	+14	1.6
2030	32	MLB CTX	TB	100%	629	555	140	23	0	20	59	161	10	1	0	252	335	404	739	152	315	26	9	330	110	+7	+0	+0	-11	+14	1.0
2031	33	MLB CTX	TB	100%	584	517	126	20	0	18	54	152	8	1	0	244	326	386	711	142	308	26	9	319	102	+2	+0	-1	-10	+13	0.3
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3926	3451	905	158	1	129	380	990	62	4	3	262	346	421	767	159	329	25	10	342	105	+82	-0	-6	-79	+85	8.3
/ 162G	—	A+C		—	650	571	149	26	0	21	63	164	10	1	0	261	344	417	761	156	328	25	10	342	105	+14	-0	-1	-13	+14	1.4
Career	—	MLE		—	7303	6458	1671	287	19	215	642	1796	132	47	20	259	338	409	747	150	323	25	9	323	105	+101	-1	-2	-91	+99	10.9
/ 162G	—	MLE		—	650	575	149	26	2	19	57	160	12	4	2	259	339	410	749	151	324	25	9	323	105	+14	-0	-0	-13	+14	1.5

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Brandon Beltlast yr '23 career totals — 13 seasons, 5,483 PA	8.3	5,483	194	47	261	357	460	-96	-62	19.4	18.2
/162	664	23	6	-11.7	-7.5	2.3	pk7: 17
#2Kendrys Moraleslast yr '19 career totals — 13 seasons, 5,357 PA	8.1	5,357	213	6	265	327	453	-95	-16	14.9	15.2
/162	664	26	1	-11.8	-2.0	1.8	pk7: 16
#3Seth Smithlast yr '17 career totals — 10 seasons, 4,076 PA	6.1	4,076	126	22	260	343	445	-44	-36	14.0	13.3
/162	664	21	4	-7.1	-5.9	2.3	pk7: 13
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 10 projected seasons	6.9	4,574	155	6	263	343	427	-82	-22	13.3	13.3
/162	664	23	1	-11.9	-3.2	1.9	pk7: 13
#4Willie Aikens'77-'85 * career totals — 7 seasons, 2,856 PA	4.3	2,856	110	3	265*	354*	480*	-56	-16	10.7	11.0
/162	664	26	1	-13.0	-3.7	2.5	pk7: 11
#5Babe Young'36-'48 * career totals — 7 seasons, 2,709 PA	4.1	2,709	79	9	264*	341*	477*	-42	-20	8.2	8.5
/162	664	19	2	-10.2	-4.8	2.0	pk7: 9
#6Larry Sheets'84-'93 * career totals — 6 seasons, 2,501 PA	3.8	2,501	94	6	264*	320*	456*	-44	-7	5.6	5.9
/162	664	25	2	-11.7	-1.9	1.5	pk7: 6

Career Path Comps

What happened to players with a similar stat profile at this age · Y-axis: wRC+ (100 = league avg, 150 = elite, 80 = below) · Bands: P10–P90 outer, P25–P75 inner · Gold: OGILVIE projection

		Scouting				At Match Age									Next 3 Yrs									Peak 3 Yrs
Comp	Age	HIT	PWR	SPD	EYE	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR
Jonathan Aranda (OGILVIE)	29	60	60	40	50	266/349/440	175	328	24	1	24%	10%	125	+3.4	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
●Kole Calhoun 2017 · MLB	29	53→58	51→60	43→50	50	266/331/435	168	309	18	4	20%	8%	116	+2.5	239/316/408	169	280	20	5	22%	10%	105	+1.7	226/308/405	179	263	23	5	23%	10%	102	+1.5
✕Ji Man Choi 2020 · MLB	29	50	55	43→45	55	253/344/445	191	304	22	4	24%	11%	123	+3.0	240/339/417	177	307	19	3	26%	13%	115	+2.4	227/334/394	167	304	17	0	28%	13%	109	+1.0
✕Michael Saunders 2017 · MLB	30	49→54	55	41→55	51	250/329/447	197	317	22	4	27%	10%	118	+2.7	214/274/355	141	269	15	5	25%	7%	76	-0.4	186/236/294	108	233	10	3	24%	6%	46	-1.2
●Lucas Duda 2015 · MLB	29	47→56	56→65	39→30	53	244/334/435	191	291	24	3	25%	11%	118	+2.6	242/330/471	229	281	29	2	25%	10%	125	+3.2	230/324/480	249	262	32	0	26%	10%	125	+2.2
✕Trey Mancini 2021 · MLB	29	51→61	57→60	46→40	49	265/332/467	201	306	25	3	22%	8%	124	+3.1	246/316/408	162	300	19	2	24%	8%	105	+1.7	239/310/388	149	296	17	0	24%	8%	98	+1.0
●Nathaniel Lowe 2024 · MLB	29	56→60	50→55	47→40	54	273/353/433	160	337	17	3	23%	11%	123	+3.0	250/333/403	153	310	18	3	24%	11%	109	+2.0	241/324/394	153	295	19	1	24%	10%	104	+1.5
●Willson Contreras 2021 · MLB	29	50→60	56→60	41→45	49	255/343/450	195	306	24	4	24%	9%	125	+3.2	248/345/457	209	296	26	6	25%	10%	127	+3.3	258/360/469	211	317	27	5	26%	10%	137	+3.3
●Adam LaRoche 2009 · MLB	29	51→53	58→65	40	51	268/333/482	215	307	25	2	22%	9%	128	+3.3	256/321/451	195	310	23	3	24%	9%	116	+2.5	249/331/445	196	278	26	3	21%	11%	119	+2.8
●Corey Dickerson 2018 · MLB	29	51→60	58→65	41→50	41	265/303/476	211	311	26	3	24%	5%	116	+2.5	278/313/469	191	318	20	6	19%	5%	118	+2.6	284/317/468	185	319	18	6	17%	4%	120	+1.6
✕Ross Gload 2006 · MLB	30	56→57	54→55	37→40	47	288/332/473	185	315	21	3	17%	6%	125	+3.2	280/317/423	143	304	14	8	13%	5%	107	+1.9	281/316/393	112	303	8	7	10%	4%	100	+0.7
✕Eric Hosmer 2019 · MLB	29	55→64	52→55	45→50	51	277/336/442	165	316	20	6	19%	8%	120	+2.8	269/321/428	159	320	19	5	21%	7%	111	+2.1	270/324/423	153	320	18	4	21%	7%	111	+1.7
●Taylor Ward 2023 · MLB	29	54→55	55→60	45→50	53	274/351/464	190	324	22	7	22%	10%	130	+3.5	252/333/441	189	298	23	6	23%	10%	118	+2.7	239/324/438	199	280	25	5	24%	10%	115	+2.4
✕Matt Adams 2017 · MLB	28	48→56	56→65	43→40	45	253/302/443	190	292	24	4	23%	6%	107	+1.9	251/301/482	231	286	33	2	25%	6%	117	+2.6	244/294/487	243	276	36	0	27%	6%	117	+1.5
✕Ryan Church 2009 · MLB	30	52→54	52→55	43→45	50	262/332/437	175	313	19	6	22%	9%	117	+2.6	246/306/382	136	297	12	7	20%	7%	95	+0.9	238/296/359	121	287	8	7	19%	7%	86	+0.1
✕Chris Duncan 2009 · MLB	28	49→50	54→60	43→40	54	251/334/431	180	304	23	4	25%	11%	116	+2.5	210/285/330	120	266	13	5	25%	10%	76	-0.4	187/262/289	102	239	10	3	25%	9%	57	-1.0
●Brian Daubach 2001 · MLB	29	48→52	55→60	44→40	47	248/313/441	193	293	22	3	24%	8%	112	+2.2	254/332/458	204	305	24	3	24%	10%	122	+2.9	252/339/457	205	303	24	2	24%	11%	125	+2.1
●Chris Colabello 2014 · MLB	30	49→59	56→60	41→40	45	255/315/443	188	310	24	3	26%	7%	113	+2.3	251/302/415	164	325	21	3	28%	6%	101	+1.4	242/291/392	149	318	19	1	29%	6%	91	+0.4
●Brandon Belt 2017 · MLB	29	56→61	55→65	44→50	57	276/370/479	203	346	19	5	24%	12%	139	+4.2	255/352/452	197	310	21	5	23%	12%	127	+3.3	260/363/503	243	298	30	4	23%	13%	144	+3.0
✕Mike Carp 2014 · MLB	28	51→57	53→55	44→40	47	256/321/434	178	317	21	5	26%	8%	113	+2.3	219/298/344	125	285	12	7	26%	9%	83	+0.1	171/276/233	62	229	2	0	23%	10%	48	-0.7
✕Stephen Piscotty 2020 · MLB	29	49→54	56→60	44→45	49	256/322/446	191	287	24	4	20%	8%	116	+2.5	235/292/393	158	292	20	7	26%	7%	93	+0.8	213/267/348	135	278	18	7	30%	6%	72	-0.2

Jonathan Aranda

Career Stats + Projections

Career Comps

Career Path Comps